Sentence examples for model generated an from inspiring English sources

The viscoelastic model (adapted from the Kelvin model) generated an instantaneous modulus of 2.47±0.85 kPa, a relaxed modulus of 1.48±0.35 kPa, and an apparent viscosity of 1.92±1.80 kPa-s.

The model generated an optimum treatment combination (3% lactic acid, 1.6% chitosan, and rotational rate at 110 rpm) that could achieve greatest bacterial reduction of 4.5 log10 CFU/g.

The highest R2 value from the existing models was shown to be 0.42 (Kwak et al. 2002), whereas the proposed model generated an R2 value of 0.82. Figure 2i and j demonstrate that the proposed model outperformed the existing models in estimating the shear strength of LS-SB-H beams.

The nonparametric model generated an intercept for leaf area and root length in rice hull compost that was very different from the other composts, indicating that small additions of rice hull compost can significantly affect transplant leaf area and root length.

This combined model generated an error of only 13% when used to predict the presence of the nematode.

However, the model generated an increase in QALYs of 0.044 in favor of MR-prednisone.

The ANOVA model generated a significance level for each probe set, along with the fold change, and imputed gene annotations.

The OLS model generated a mean closest to the observed mean and had the smallest MAE and MSE.

The regression model generated a predicted probability of surgery for each patient.

This learning model generated a hazard score for each endometrial carcinoma patient based on combinations of marker stainings.

A likelihood-ratio test was used to determine whether the additive-dominance model generated a significantly better fit than the simple additive model.